一种基于灰度世界模型自动白平衡方法

A Method of Automatic White Balance Based on Grey World Model

在数码图片的处理中,白平衡用来进行各种色温下的颜色修正重现,而传统白平衡方法本身存在某些情况下不能正确重现真实色彩。基于灰度世界模型(G reyW orld Model)的自动白平衡方法可以在很大程度上弥补这些算法的缺陷,从而得到预期中的更为“真实”的图像。这种白平衡方法是在传统理论和灰度世界模型假设基础上的一种算法,在实际算法中根据摄入图像及其拍摄场景的不同选用不同的白平衡统计区域以及对蓝色白平衡乘法系数进行了调整。在实验中,利用获得的原始数据进行计算机仿真处理,得到了理想的结果。该白平衡算法改善了传统算法,获得的图像更为真实,可以广泛应用于数字图像产品中。

In the processing of digital image, automatic white balance is used for color reproducing under alternative color temperature. In some cases, traditional algorithms for white balance are not close to “real” color because of its own defect. The method of automatic white balance based on grey world model can offsets the defect and get more “real” image. This method is a white balance algorithm based on traditional theories and the gray world model assumption. In the algorithm, different statistics area is used depending on the type of image being taken and the environment. And the blue white balance coefficient is adjusted. Emulations are done in experiments with original data and have obtained ideal results. This white balance algorithm is better than traditional algorithms and can get more “real” image. It can be widely used in digital image products.